Triple
T21472473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fletcher–Munson equal-loudness contours |
E529765
|
entity |
| Predicate | basisFor |
P125
|
FINISHED |
| Object |
B-weighting
B-weighting is an audio frequency weighting curve derived from early equal-loudness contour research, used to approximate human hearing sensitivity at moderately high sound levels.
|
E1486358
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: B-weighting | Statement: [Fletcher–Munson equal-loudness contours, basisFor, B-weighting]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B-weighting Context triple: [Fletcher–Munson equal-loudness contours, basisFor, B-weighting]
-
A.
BWB
BWB is the commonly used abbreviation for Burners Without Borders, a volunteer-driven humanitarian and community service organization rooted in Burning Man culture.
-
B.
Wb
Wb is the SI unit of magnetic flux, known as the weber.
-
C.
BWP
BWP is the three-letter ISO 4217 currency code for the Botswana pula, the official currency of Botswana.
-
D.
BWP
BWP is the vehicle registration code assigned to motor vehicles registered in Bahawalpur, a city in Pakistan.
-
E.
BWT
BWT is the IATA airport code for Burnie Airport, a regional airport serving the Burnie area in Tasmania, Australia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: B-weighting Triple: [Fletcher–Munson equal-loudness contours, basisFor, B-weighting]
Generated description
B-weighting is an audio frequency weighting curve derived from early equal-loudness contour research, used to approximate human hearing sensitivity at moderately high sound levels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: B-weighting Target entity description: B-weighting is an audio frequency weighting curve derived from early equal-loudness contour research, used to approximate human hearing sensitivity at moderately high sound levels.
-
A.
BWB
BWB is the commonly used abbreviation for Burners Without Borders, a volunteer-driven humanitarian and community service organization rooted in Burning Man culture.
-
B.
Wb
Wb is the SI unit of magnetic flux, known as the weber.
-
C.
BWP
BWP is the three-letter ISO 4217 currency code for the Botswana pula, the official currency of Botswana.
-
D.
BWP
BWP is the vehicle registration code assigned to motor vehicles registered in Bahawalpur, a city in Pakistan.
-
E.
BWT
BWT is the IATA airport code for Burnie Airport, a regional airport serving the Burnie area in Tasmania, Australia.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea14756081908c615590c68904d5 |
completed | April 23, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09cff96dbc8190adae0f91749530e4 |
completed | May 17, 2026, 2:26 p.m. |
| NEDg | Description generation | batch_6a09d08ffa3c8190b5ab7e4cbf78719f |
completed | May 17, 2026, 2:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09d18c77e481908a353d443d79b7ca |
completed | May 17, 2026, 2:32 p.m. |
Created at: April 16, 2026, 6:19 p.m.